EY expands NVIDIA-powered enterprise AI capabilities with industry-first validation of NVIDIA NemoClaw for LangChain

• EY builds on the NVIDIA NemoClaw for LangChain Deep Agents blueprint to help enterprises deploy benchmark-leading open agents, tailored to their workflows, governed by their policies and running on infrastructure they control.
• Validation spans supply chain, sustainability, cybersecurity, data engineering and insurance underwriting use cases.
• Results include up to an 80% reduction in manual supply chain planning interventions and cyber anomaly detection times reduced by more than 66%.

The EY organization today announces an expansion of its NVIDIA capabilities through the successful validation of a select set of EY.ai agentic AI solutions on a common NVIDIA NemoClaw for LangChain Deep Agents open reference blueprint, demonstrating how enterprise agentic AI solutions can be re-platformed onto a common AI stack. 

Working closely with NVIDIA, EY leaders improved five EY.ai solutions to align with the NVIDIA NemoClaw for LangChain Deep Agents blueprint. EY teams also produced fully functional demonstrations validating all three layers of the architecture: NVIDIA Nemotron 3 Ultra open model, LangChain Deep Agents and the NVIDIA OpenShell secure runtime, along with improvements in agent autonomy, reasoning, consistency and execution, while maintaining enterprise-grade governance and security controls. These improved EY.ai solutions help create a clear path for enterprises to securely embrace agentic AI built on open models. 

The validated capabilities are available today, with early applications spanning international policy and regulatory intelligence, supply chain operations, cybersecurity, data products and the EY organization’s professional services environment.

Initial validation conducted with NVIDIA in a controlled lab environment demonstrated the potential business value of the solution, including:

• 20% increase in agent task success and autonomous completion rates in smart logistics use cases
• 30% improvement in retrieval accuracy for sustainability regulatory intelligence
• 15%-20% increase in autonomous completion rates without human interference for data engineering pipeline automation

Illustrative business impact includes:

• 60%-80% reduction in manual planning interventions in supply chain operations
• 80%-plus reduction in effort required to prepare executive regulatory briefings
• Cut incident triage time in cyber anomaly detection scenarios by 66%, enabling faster identification and resolution of potential threats
• Data pipeline deployment cycles reduced to two to three days

Julie Teigland, EY Global Vice Chair – Alliances & Ecosystems, says:

“Clients are often challenged by the fragmented reality of running AI solutions on disparate models and frameworks and need trusted ways to deploy AI. This industry-first validation demonstrates that enterprise AI agents can be deployed on a common, open architecture without compromising governance, security or performance. By combining NVIDIA technology, LangChain's agent framework and EY industry expertise, we have created a blueprint that helps organizations scale agentic AI faster and with the governance, consistency and confidence required for enterprise deployment.”

Alvin Dacosta, Vice President at NVIDIA, says:

“Enterprises are asking for AI agents that are more capable, governable and scalable to supercharge their workforce. Through our expanded collaboration with EY and the NVIDIA NemoClaw blueprint for LangChain Deep Agents, organizations can build specialized AI systems tailored to their own workflows. The repeatable blueprint enables EY teams to focus on adapting agents to client-specific data, workflows and governance requirements rather than rebuilding foundational capabilities for every application.”

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About EY

EY is building a better working world by creating new value for clients, people, society and the planet while building trust in capital markets.

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All in to shape the future with confidence.

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This news release has been issued by EYGM Limited, a member of the global EY organization that also does not provide any services to clients.

About LangChain

LangChain powers the full agent development lifecycle — building, testing, deploying, and monitoring — so AI teams can improve their agents systematically. LangSmith Engine accelerates this cycle, automatically surfacing and fixing issues to improve agents over time. LangSmith is neutral by design, so teams can customize their own stack to optimize on cost and performance as the landscape evolves. More than 7,000 customers, including Nvidia, Bridgewater, LinkedIn, Workday, Harvey, and Rippling trust LangSmith to build and manage their agents. For more information, visit langchain.com.